Parallel Symmetric Appearance‐Motion Framework With Diffusion and Refinement Blocks for Video Anomaly Detection System

ABSTRACT Video anomaly detection is crucial in network security, application performance monitoring, and quality control. It recognizes unexpected patterns or behaviors in video footage, allowing for threat detection, app optimization, and product quality improvement. Many deep learning models effec...

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Veröffentlicht in:	Concurrency and computation Jg. 37; H. 18-20
Hauptverfasser:	Prasad, Kavitapu Naga Siva Shankara Vara, Haritha, Dasari
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 30.08.2025 Wiley Subscription Services, Inc
Schlagworte:	Abnormalities Anomalies anomalous activities in videos cross‐modality interaction Decoding Diffusion barriers diffusion strengthening Flow mapping intermodal refinement block motion‐ and appearance‐dominated branches Optical flow (image analysis) Pattern recognition Quality control residual inception‐based autoencoder spatial and temporal autoencoder UCI crime dataset video anomaly detection Video data
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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